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Probability Density Functions

Tutorial Slides by Andrew Moore

A review of a world that you've probably encountered before:
real-valued random variables, probability density functions, and how to
deal with multivariate (i.e. high dimensional) probablity densities.
Here's where you can review things like Expectations, Covariance
Matrices, Independence, Marginal Distributions and Conditional
Distributions. Once you're happy with this stuff you won't be a data
miner, but you'll have the tools to very quickly become one.

Powerpoint Format: The Powerpoint originals of these slides are
freely available to anyone who wishes to use them for their own work, or
who wishes to teach using them in an academic institution. Please email
Andrew Moore at awm@cs.cmu.edu if you would
like him to send them to you. The only restriction is that they are not
freely available for use as teaching materials in classes or tutorials
outside degree-granting academic institutions.

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